Generative AI and ChatGPT in School Children’s Education: Evidence from a School Lesson

Author:

Jauhiainen Jussi S.12,Guerra Agustín Garagorry1ORCID

Affiliation:

1. Department of Geography and Geology, University of Turku, 20014 Turku, Finland

2. Institute of Ecology and the Earth Sciences, University of Tartu, 50409 Tartu, Estonia

Abstract

In 2023, the global use of generative AI, particularly ChatGPT-3.5 and -4, witnessed a significant surge, sparking discussions on its sustainable implementation across various domains, including education from primary schools to universities. However, practical testing and evaluation in school education are still relatively unexplored. This article examines the utilization of generative AI in primary school education. The study involved 110 pupils, aged 8–14 years old, studying in the 4th–6th grades across four classes in two schools. Using laptops, pupils participated in test lessons where content, text, figures, and exercises were generated and modified using generative AI, specifically ChatGPT-3.5. The results demonstrated that it was possible to use ChatGPT-3.5, as one example of generative AI, to personify learning material so that it would meet the knowledge and learning skills of pupils with different levels of knowledge. A clear majority of pupils enjoyed learning the generative AI-modified material. There is a promising potential of generative AI use in school education, supporting pupils’ motivated learning and skills development. However, these tools need to be developed, refined and optimized to ensure proper adaptation and to create impactful, inclusive, and sustainable learning in schools to benefit pupils, teachers and education managers alike.

Funder

University of Turku

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference43 articles.

1. Lo, C.K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Educ. Sci., 13.

2. Nahigian, T.J., and Fonseca, L. (2023, July 15). If you’re not first, you’re last: How AI becomes mission critical. Base 10. 17 November 2022. Available online: https://base10.vc/post/generative-ai-mission-critical/.

3. Jauhiainen, J.S., Krohn, C., and Junnila, J. (2023). Metaverse and sustainability: Systematic review of scientific publications until 2022 and beyond. Sustainability, 15.

4. United Nations Department of Economic and Social Affairs (2022). Sustainable Development Goal 4, Ensure Inclusive and Equitable Quality Education and Promote Lifelong Learning Opportunities for All.

5. Arpaci, I., Kaya, A., and Bahari, M. (2023). Investigating the influence of an arduino-based educational game on the understanding of genetics among secondary school students. Sustainability, 15.

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3